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Dick's Sporting Goods Data Scientist in Pittsburgh, Pennsylvania

The core data science team at Dick’s Sporting Goods is seeking a Data Scientist to work alongside the Intelligent Forecasting product team within the organization. Currently the data science team has a variety of work ranging from natural language processing to supply chain optimization, and is looking to continue to expand its footprint by bringing on another diverse teammate. Machine Learning Applications & Analyses * Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data. * Build and put into deployment algorithmic solutions that drive value within the merchandising and forecasting space. * Compile data from disparate sources to more accurately analyze customer demand and trends within the business. * Communicate complex analyses and models to all levels of leadership across the organization. Client Liaison * Work with a variety of business units throughout the organization to help translate their requirements into specific analytical and model based deliverables. * Continue to improve and advance communication and collaboration patterns amongst the various analytics teams and business units. Training * Lead or support formal and/or informal training for fellow data science team members or other teams in the organization on the various tools used and created within the data science team. * Master’s Degree preferred in Statistics, Computer Science, Engineering, Mathematics, Economics, or other quantitative field * Additional experience will be considered in lieu of an advanced degree. * Statistics/Machine Learning with applications in Python. * Practical experience with SQL or a SQL-like language. * Creating visualizations and presentations for non-technical users. * Experience working in a cloud based environment (Google Cloud, AWS, Azure, etc.) is a plus. * Applications of Machine Learning in retail is a plus. Organization: Corporate* *Title: *Data Scientist Location: Pennsylvania-Pittsburgh Requisition ID: 2100064T